EPIMUTESTR: a nearest neighbor machine learning approach to predict cancer driver genes from the evolutionary action of coding variants

Discovering rare cancer driver genes is difficult because their mutational frequency is too low for statistical detection by computational methods. EPIMUTESTR is an integrative nearest-neighbor machine learning algorithm that identifies such marginal genes by modeling the fitness of their mutations...

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Detalles Bibliográficos
Autores principales: Parvandeh, Saeid, Donehower, Lawrence A, Katsonis, Panagiotis, Hsu, Teng-Kuei, Asmussen, Jennifer K, Lee, Kwanghyuk, Lichtarge, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262594/
https://www.ncbi.nlm.nih.gov/pubmed/35412634
http://dx.doi.org/10.1093/nar/gkac215

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262594/
https://www.ncbi.nlm.nih.gov/pubmed/35412634
http://dx.doi.org/10.1093/nar/gkac215

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